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Channel

万事屋🗳️有问必答

@WantAnswer

On this record: Topic · Growth · Engagement · Reactions · Stars · Posts · Posts recorded as deleted · Citations · Cite this entry

72,323subscribers

+19,077 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002166345633
TypeChannel
Username@WantAnswer
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/WantAnswer

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 86% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

53,24672,32362,784.57 August 202611 November 2026
63 measurements spanning 96 days, net +19,077. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 50,384–75,185 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
11 Nov 2026, 14:1572,323+360
9 Nov 2026, 19:0071,963+320
8 Nov 2026, 07:5671,643+286
6 Nov 2026, 23:2071,357+170
6 Nov 2026, 01:1771,187+169
5 Nov 2026, 03:5071,018+277
3 Nov 2026, 23:5870,741+202
2 Nov 2026, 20:3870,539+261
1 Nov 2026, 18:2770,278+268
31 Oct 2026, 18:0070,010+240
30 Oct 2026, 16:4169,770+155
29 Oct 2026, 19:4969,615+229
28 Oct 2026, 18:1169,386+249
27 Oct 2026, 17:1969,137+246
26 Oct 2026, 15:5668,891+195
25 Oct 2026, 17:0968,696+230
24 Oct 2026, 19:1768,466+230
23 Oct 2026, 20:3968,236+186
22 Oct 2026, 20:5168,050+157
21 Oct 2026, 19:4767,893first reading

Engagement

2,117 posts held, back to 6 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 195 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.03%
avg views ÷ 72,323 subscribers
Avg views / post
1,470
643 posts measured
Reaction rate
0.172%
reactions ÷ views · ER floor
Posts in window
643
of 2,117 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 473 of 643 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 November 2026
Posts held2,117 (6 August 2026 – 11 November 2026)
Views total942,504
Reactions total1,245
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 09:54 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Reaction mix

2,047 reactions across 681 posts, in 21 distinct kinds. The most used accounts for 73.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,51373.9%
❤39519.3%
🤡412.00%
🤣231.12%
🤮120.586%
😱100.489%
😁80.391%
🎉70.342%
👎60.293%
👏60.293%
🌭50.244%
🤔40.195%
🤓30.147%
🤯30.147%
💩20.098%
😇20.098%
🙏20.098%
🤷‍♂20.098%
🎃10.049%
🔥10.049%
1 further kind10.049%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 738 of the 1,000 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 2,047 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 27 September 2026 to 11 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
6
across the posts below
Posts paid on
6
of 1,000 we hold a reading for · 0.6%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @WantAnswer. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 27 September 2026 to 11 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

Telegram’s own ‘edited’ marker: 2 of 643 posts held from the last 30 days (0.311%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

11 Nov 2026, 09:20 UTC175 viewsread 11 November 2026

帅哥美女们我想在yulin新开的美食街里租一个30平米的店铺你们年轻人平时比较爱吃什么或者你们那边比较新奇畅销的小吃美食,我刚刚问了店铺销售头部小吃炸串啊奶茶串串炸鸡之类头部已经的都入住了能不能帮我参考参考弄个啥小吃比较行万分感谢🙏🏻 📮投稿 ☘️频道 🐧聊天

11 Nov 2026, 08:55 UTC291 viewsread 11 November 2026

请问大佬,超聚变这个公司怎么样,今年校招发offer了,base地河南总部这边,做对内开发的一个部门。值得去吗,目前在等河南的一些银行和移动电信运营商的结果,目前还没签任何offer 📮投稿 ☘️频道 🐧聊天

11 Nov 2026, 08:34 UTC386 viewsread 11 November 2026

想请教一下有经验的朋友,个人长期用 AI,有没有必要专门搞家宽线路、独享静态住宅 IP 之类的网络环境,再去订阅官方服务? 目前主要用中转站,但总觉得不够省心:一方面担心账号风控、模型质量,以及大家说的“降智”等问题;另一方面,中转站一旦出故障或者停运,就得重新找渠道、改接口和配置,来回折腾也挺麻烦。所以想了解一下,直接走官方订阅是不是更适合长期使用。 主要有几个问题: 1. 家宽/静态住宅 IP 是刚需吗? 还是说,只要线路稳定、地区受支持,不频繁更换 IP 就够了?专门为此买线路或服务器,值不值得? 2. 官方订阅需要注意哪些条件? 比如网络地区、账号地区、支付方式等,哪些才是影响稳定使用的关键? 3. 低价区订阅一般有什么要求? 是需要当地的支付方式、账单地址或居住资格吗?网上说的低价订阅,怎么区分官方地区定价、促销和合租账号? 4. Claude 也有官方低价区吗? 还是各地区价格基本一致,所谓“低价”主要来自其他…

11 Nov 2026, 08:05 UTC470 views1 reactionsread 11 November 2026

各位 18cm 我最近老是会频繁回忆起以前 尴尬窘迫的事情 应该让自己怎么不去想 还有就是,我这几天感觉压力比较大,睡觉的时候老是不受控制的要上牙膛咬下牙膛,这样搞得我第二天俩边咬肌很酸痛 应该怎么控制这种情况 📮投稿 ☘️频道 🐧聊天

❤1

11 Nov 2026, 06:02 UTC736 views2 reactionsread 11 November 2026

各位1836D们,请问国内的招商银行VISA信用卡能绑定到美区的apple ID上吗 美区的地址填的是美国的 📮投稿 ☘️频道 🐧聊天

❤1👍1

11 Nov 2026, 05:34 UTC817 views0 reactionsread 11 November 2026

小红书或网上很多推销运营商低价套餐的,是什么套路么?目前联系一个39元送宽带+140g流量+300通话,还有2张1元/月副卡。 📮投稿 ☘️频道 🐧聊天

11 Nov 2026, 05:04 UTC912 views1 reactionsread 11 November 2026

大佬们,我30岁了,最近工作不太稳定,我是做短视频拍摄剪辑的,想自己做外贸,做东南亚Facebook的社媒,做收纳或者五金件,这条路走得通吗 📮投稿 ☘️频道 🐧聊天

👍1

11 Nov 2026, 04:34 UTC≈1,010 views4 reactionsread 11 November 2026

各位大佬 最近对同事心动了 每天上班都是在一张电脑桌上 认识差不多半年了 本人没建模 她对我没啥好感 不是很漂亮 还是女同! 这种怎么样才能让她对我有好感🙈 📮投稿 ☘️频道 🐧聊天

🤣3👍1

11 Nov 2026, 04:01 UTC994 viewsread 11 November 2026

各位大佬,想问问安全工程这个专业推荐考研吗,我是专升本上来的,之前读的不是这个专业 📮投稿 ☘️频道 🐧聊天

11 Nov 2026, 03:34 UTC≈1,030 viewsread 11 November 2026

211 本科,专业计科,英语考雅思 6.5 没问题,日语有 n3,半年后考 n2,家里只有几个金币。国内实在找不到工作,要么就是加班很严重的,有什么润的法子吗 📮投稿 ☘️频道 🐧聊天

11 Nov 2026, 03:01 UTC≈1,070 views1 reactionsread 11 November 2026

本人计算机专业 目前专科大三在准备专升本 存款50 没出过国 想去美国看看 不知道留学还是旅游好 主要还是想看看美国的科技发展 不知道留学有什么好处 如果要留学就会花光所有的原始积累 感觉机会成本太高 有没有高人指点 📮投稿 ☘️频道 🐧聊天

👍1

11 Nov 2026, 02:30 UTC≈1,090 views2 reactionsread 11 November 2026

有没有治疗灰指甲很有效的药,去医院检查吃抗真菌药涂阿莫罗芬搽剂效果不是很明显 📮投稿 ☘️频道 🐧聊天

👍2

Showing the 12 most recent of 2,117 posts we hold for @WantAnswer. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Posts recorded as deleted after publishing

We recorded 1 post on @WantAnswer as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
12 September 2026
Most recent seen missing
12 September 2026
Median time before seen missing
14 hours
Seen missing in the last 30 days
0

Mentions

Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 11 November 2026 — this entry's latest reading, not the date you are reading this.

“万事屋🗳️有问必答” (@WantAnswer), 72,323 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/WantAnswer.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.